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Filter design for system modeling, state estimation and fault diagnosis / Ziyun Wang, Yan Wang, Zhicheng Ji

By: Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Publisher: Boca Raton, FL : CRC Press, 2023Edition: First editionDescription: 1 Online-Ressource (xiii, 225 pages) : illustrations (chiefly color)ISBN:
  • 9781003327219
  • 1003327214
  • 9781000737868
  • 1000737861
  • 9781000737882
  • 1000737888
Subject(s): Additional physical formats: 1032355123 | 9781032355122. | 9781032355139. | 9781032355122 | Erscheint auch als: Filter design for system modeling, state estimation and fault diagnosis. Druck-Ausgabe Boca Raton : CRC Press, 2023DDC classification:
  • 620.001/171
LOC classification:
  • TA168
Online resources: Summary: Parameter estimation algorithm based on zonotope-ellipsoid double filtering -- State estimation based on zonotope -- State estimation based on convex spatial structure -- Fault diagnoisis based on interval -- Fault diagnosis based on zonotpic Kalman filtering.Summary: "This book analyzes the latest methods in the design of filters for system modeling, state estimation and fault detection with the intention of providing a new perspective of both theoretical and practical aspects. The book also includes fault diagnosis techniques for unknown but bounded systems, their real applications on modeling and fault diagnosis for lithium battery systems, DC-DC converters, and spring damping systems. It proposes new methods based on zonotopic Kalman filtering, a variety of state estimation methods of zonotope and its derived algorithms, a state estimation method based on convex space, set inversion interval observer filtering-based guaranteed fault estimation and a novel interval observer filtering-based fault diagnosis. The methods presented in this book are more practical than the common probabilistic based algorithms, since these can be applied in unknown but bounded noisy environments. This book will be an essential read for students, scholars and engineering professionals who are interested in filter design, system modeling, state estimation, fault diagnosis, and related fields"--PPN: PPN: 1882640039Package identifier: Produktsigel: ZDB-4-NLEBK | BSZ-4-NLEBK-KAUB
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